Stars
JupyterLab computational environment.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
scikit-learn: machine learning in Python
Machine Learning Toolkit for Kubernetes
Machine Learning Pipelines for Kubeflow
Neo4j graph construction from unstructured data using LLMs
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
D-Adaptation for SGD, Adam and AdaGrad
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
The home of the Jupyter notebook graph visualization widget powered by yFiles for HTML
An extremely fast Python linter and code formatter, written in Rust.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Making large AI models cheaper, faster and more accessible
Source code for the Neo4j Graph Data Science library of graph algorithms.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
NeuralProphet: A simple forecasting package
ZincSearch . A lightweight alternative to elasticsearch that requires minimal resources, written in Go.
Data Quality assessment with one line of code
Automatically switches between the dark and light theme of Windows 10 and Windows 11
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Awesome free machine learning and AI courses with video lectures.
Books, papers and links to latest research in ML/AI
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…